• DocumentCode
    3215892
  • Title

    Automatic Discovery of Physical Topology in Ethernet Networks

  • Author

    Farkas, Janos ; Farkas, János ; Salvador, Marcos Rogerio ; Santos, Giovanni Curiel dos

  • Author_Institution
    Ericsson Res., Budapest
  • fYear
    2008
  • fDate
    25-28 March 2008
  • Firstpage
    848
  • Lastpage
    854
  • Abstract
    Ethernet is becoming increasingly popular in metro and access networks due to the high bandwidth available at low cost. Nonetheless, native Ethernet lacks some features that are important for sophisticated network management; providing accurate knowledge on the physical topology is one of them. Therefore, automatic physical topology discovery in support of network management is essential in Ethernet networks. Former work either focused on Layer-3 topology discovery or only provided the active topology excluding the physical links inactivated by rapid spanning tree protocol. This paper introduces a novel mechanism capable of automatically discovering the entire physical topology of Ethernet networks. Our algorithm collects information available even in low-cost off- the-shelf Ethernet switches and then calculates the physical topology of the entire network. This paper describes the method and its implementation in a testbed network for assessing the performance and the robustness of the mechanism.
  • Keywords
    local area networks; telecommunication network management; telecommunication network topology; Ethernet networks; access networks; sophisticated network management; Costs; Engineering management; Ethernet networks; Network topology; Protocols; Resource management; Robustness; Switches; Telecommunication network topology; Telecommunication traffic; Ethernet; Network Management; Topology Discovery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Information Networking and Applications, 2008. AINA 2008. 22nd International Conference on
  • Conference_Location
    Okinawa
  • ISSN
    1550-445X
  • Print_ISBN
    978-0-7695-3095-6
  • Type

    conf

  • DOI
    10.1109/AINA.2008.95
  • Filename
    4482794